Lalitha Agnihotri
Senior Learning and Data Scientist,
McGraw Hill Education
Who Are Your At-Risk Students? Using Data Mining to Target Intervention Efforts
Wednesday, October 16, 2013 | 11:30AM–12:20PM | Meeting Room 211A/B
Session Type:
Professional Development
Improve targeted intervention by building a model to identify and classify at-risk students using data at your institution—and do it in-house with available data-mining tools. Find out how we did this at New York Institute of Technology and how you can do it as well.
OUTCOMES:
Gain an understanding of the complete life cycle of the At-Risk Student Identification Model. | Learn about the methodology and technologies used to create the model. | Understand how to initiate a similar model.
